This repo contains the python codes of my final thesis "Analysis of leaf species and detection of diseases using image processing and machine learning methods".

This project uses a pre-trained ResNet50 model from the FastAI library to detect pneumonia in chest X-rays. The dataset which is available on kaggle is used for training the model which classifies the chest xray as NORMAL, VIRAL or BACTERIAL and this project is deployed on Flask

Classifying MonkeyPox Images using various Deep Learning networks (VGG16,VGG19,RESNET50 and a Custom CNN model)

Cette application utilise l'apprentissage automatique pour reconnaître et classifier les espèces de fleurs à partir d'images, fournissant des informations détaillées pour faciliter l'identification des plantes.

Classifying Pneumonia images and normal lung images using RESNET50 and Customized CNN models.